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권석범 교수

Seokbeom Kwon

KAIST 기술경영학부 · 경영학

연구실 소개

권석범 교수의 연구실은 과학 정책, 기술 혁신, 그리고 지식 유통의 메커니즘을 중심으로 연구를 전개합니다. 특히 다학제적 연구가 과학적 영향력에 미치는 영향, 신기술 주제의 부상 원리, 연구 데이터 공개의 학술적 보상 구조, 규제 불확실성이 기술 전이에 끼치는 영향 등을 다각도로 분석하고 있습니다. 기업과 정부가 기술 혁신을 어떻게 이끌고 활용할 수 있을지에 대한 실증적이고 정책적 통찰을 추구합니다.

다학제적 연구기술 혁신지식 유통연구 정책규제 불확실성

연구 현황

논문 수
47
총 인용 수
568
최근 5년 논문
17
주요 분야
경영학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
17총합
2021
2022
2023
2024
2025
5개년 연도별 피인용 수
129총합
20212022202320242025

주요 논문

15
1
논문|인용수 53·2019
Research addressing emerging technological ideas has greater scientific impact
Seokbeom Kwon, Xiaoyu Liu, Alan L. Porter, Jan Youtie
SJR Q1Research Policy
Management Science and Operations ResearchDecision Sciences
2
논문|인용수 43·2021
Can antitrust law enforcement spur innovation? Antitrust regulation of patent consolidation and its impact on follow-on innovations
Seokbeom Kwon, Alan C. Marco
SJR Q1Research Policy
Management of Technology and InnovationBusiness, Management and Accounting
3
논문|인용수 38·2016
How institutional arrangements in the National Innovation System affect industrial competitiveness: A study of Japan and the U.S. with multiagent simulation
Seokbeom Kwon, Kazuyuki Motohashi
SJR Q1Technological Forecasting and Social Change
Strategy and ManagementBusiness, Management and Accounting
4
논문|인용수 35·2020
How does patent transfer affect innovation of firms?
Seokbeom Kwon
SJR Q1Technological Forecasting and Social Change
Management of Technology and InnovationBusiness, Management and Accounting
5
논문|인용수 32·2017
A measure of knowledge flow between specific fields: Implications of interdisciplinarity for impact and funding
Seokbeom Kwon, Gregg E. A. Solomon, Jan Youtie, Alan L. Porter
SJR Q1PLoS ONEOA

Encouraging knowledge flow between mutually relevant disciplines is a worthy aim of research policy makers. Yet, it is less clear what types of research promote cross-disciplinary knowledge flow and whether such research generates particularly influential knowledge. Empirical questions remain as to how to identify knowledge-flow mediating research and how to provide support for this research. This study contributes to addressing these gaps by proposing a new way to identify knowledge-flow mediat

Statistics, Probability and UncertaintyDecision Sciences
6
논문|인용수 25·2022
Interdisciplinary knowledge integration as a unique knowledge source for technology development and the role of funding allocation
Seokbeom Kwon
SJR Q1Technological Forecasting and Social Change
Economics and EconometricsEconomics, Econometrics and Finance
7
논문|인용수 21·2016
Navigating the innovation trajectories of technology by combining specialization score analyses for publications and patents: graphene and nano-enabled drug delivery
Seokbeom Kwon, Alan L. Porter, Jan Youtie
SJR Q1Scientometrics
Management of Technology and InnovationBusiness, Management and Accounting
8
논문|인용수 18·2021
Incentive or disincentive for research data disclosure? A large-scale empirical analysis and implications for open science policy
Seokbeom Kwon, Kazuyuki Motohashi
SJR Q1International Journal of Information Management
Statistics, Probability and UncertaintyDecision Sciences
9
논문|인용수 14·2020
Interdisciplinary knowledge combinations and emerging technological topics: Implications for reducing uncertainties in research evaluation
Seokbeom Kwon, Jan Youtie, Alan L. Porter
SJR Q1Research Evaluation

Abstract This article puts forth a new indicator of emerging technological topics as a tool for addressing challenges inherent in the evaluation of interdisciplinary research. We present this indicator and test its relationship with interdisciplinary and atypical research combinations. We perform this test by using metadata of scientific publications in three domains with different interdisciplinarity challenges: Nano-Enabled Drug Delivery, Synthetic Biology, and Autonomous Vehicles. Our analysi

Information Systems and ManagementDecision Sciences
10
논문|인용수 9·2020
The prevalence of weak patents in the United States: A new method to identify weak patents and the implications for patent policy
Seokbeom Kwon
SJR Q1Technology in Society
Management of Technology and InnovationBusiness, Management and Accounting
11
논문|인용수 8·2022
How does regulatory uncertainty shape the innovation process? Evidence from the case of nanomedicine
Seokbeom Kwon, Jan Youtie, Alan L. Porter, Nils C. Newman
SJR Q1The Journal of Technology Transfer
Economics and EconometricsEconomics, Econometrics and Finance
12
논문|인용수 7·2019
Defensive Patent Aggregators as Shields against Patent Assertion Entities? Theoretical and Empirical Analysis
Seokbeom Kwon, Matej Drev
SJR Q1Technological Forecasting and Social Change
Management of Technology and InnovationBusiness, Management and Accounting
13
논문|인용수 7·2025
Use of exclusive data for corporate research on machine learning and artificial intelligence: Implications for innovation and competition policy
Seokbeom Kwon, Alan L. Porter
SJR Q1Technology in Society
Economics and EconometricsEconomics, Econometrics and Finance
14
논문|인용수 5·2021
Chasing two hares at once? Effect of joint institutional change for promoting commercial use of university knowledge and scientific research
Seokbeom Kwon, Kazuyuki Motohashi, Kenta Ikeuchi
SJR Q1The Journal of Technology TransferOA
Statistics, Probability and UncertaintyDecision Sciences
15
preprint|인용수 4·2020
Incentive or Disincentive for Disclosure of Research Data? A Large-Scale Empirical Analysis and Implications for Open Science Policy
Seokbeom Kwon, Motohashi Kazuyuki
RePEc: Research Papers in Economics

The incentive for scientists to disclose their research data hinges on the extent to which data disclosure brings academic credit (the credit effect) compared to the dissipation of academic credit through intensified scientific competition (the competition effect). In this study, we examine the net effect on the academic credit received by research publications of data-providing researchers publicly disclosing research data. To accomplish this, we compared the citation impact of scientific journ

Statistics, Probability and UncertaintyDecision Sciences

대표 연구 분야

Management of Technology and InnovationEconomics and EconometricsStatistics, Probability and UncertaintyStrategy and ManagementMolecular BiologyInformation Systems and Management

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